Structure Therapeutics Inc. earns a Strong Buy rating following robust phase 2b data for oral GLP-1R agonist Aleniglipron in obesity. Aleniglipron achieved placebo-adjusted weight loss up to -15.3% at ...

Placebo-adjusted mean weight loss of 11.3% (27.3 lbs) with 120 mg dose in the 36-week Phase 2b ACCESS study with a 10.4% adverse event-related treatment discontinuation Placebo-adjusted mean weight ...

SAN FRANCISCO, Dec. 07, 2025 (GLOBE NEWSWIRE) -- Structure Therapeutics Inc. (GPCR), a clinical-stage global biopharmaceutical company developing novel oral small molecule therapeutics for metabolic ...

Cybercriminals have a new, user-friendly tool for turning your browser alerts into a vector for phishing attacks. "Matrix Push" is slick, it's pretty, and it's about as easy to use as any commercial ...

Defense Secretary Pete Hegseth outlined plans Friday for a sweeping revamp of the military's acquisition systems, which he described as sluggish and mired in bureaucracy. (Julia Demaree Nikhinson/AP) ...

A pilot program in six states will use a tactic employed by private insurers that has been heavily criticized for delaying and denying medical care. By Reed Abelson and Teddy Rosenbluth Like millions ...

The Matrix Foundation has released patches and mitigation details for two vulnerabilities that use its open standard communications protocol to transmit sensitive information. The nonprofit Matrix ...

Nothing’s original Glyph Interface was the perfect level of gimmick — it added a bit of flair to the back of its first few phones, but always felt like it had a purpose. I trusted it for everything ...

Citing successes other police departments across the country have seen using drones, the Los Angeles Police Commission said it would allow the LAPD to deploy unmanned aircraft on routine emergency ...

Continuing with the success of Phases I and II of its Laconia 3D OBN multi-client seismic program in the US Gulf, Viridien has announced, in collaboration with partner TGS, the start of Laconia Phase ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...